The study focuses on improving the evaluation of patient experiences in Poland's healthcare by using free-text narratives from international students.
Researchers developed algorithms to extract relevant information from these narratives while also conducting linguistic analysis to create a lexicon and syntactic structures.
The findings revealed that the algorithm's classifications closely matched those done by human readers, indicating that such automated methods are effective and cost-efficient for assessing patient satisfaction in health services.